{"id":"https://openalex.org/W7117587331","doi":"https://doi.org/10.1109/icecst66106.2025.11307615","title":"Automated Structural Integrity Assessment of Wind Turbines Using YOLOv8","display_name":"Automated Structural Integrity Assessment of Wind Turbines Using YOLOv8","publication_year":2025,"publication_date":"2025-10-23","ids":{"openalex":"https://openalex.org/W7117587331","doi":"https://doi.org/10.1109/icecst66106.2025.11307615"},"language":"en","primary_location":{"id":"doi:10.1109/icecst66106.2025.11307615","doi":"https://doi.org/10.1109/icecst66106.2025.11307615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecst66106.2025.11307615","pdf_url":null,"source":{"id":"https://openalex.org/S7407097081","display_name":"International Conference on Electronic Circuits and Signaling Technologies (ICECST)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 2nd International Conference on Electronic Circuits and Signaling Technologies (ICECST)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113191242","display_name":"Deepali S. Jadhav","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deepali S. Jadhav","raw_affiliation_strings":["Vishwakarma Institute of Information Technology,Dept. of Information Technology,Pune,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vishwakarma Institute of Information Technology,Dept. of Information Technology,Pune,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117490362","display_name":"Rushikesh Gaikwad","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rushikesh Gaikwad","raw_affiliation_strings":["Vishwakarma Institute of Information Technology,Dept. of Information Technology,Pune,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vishwakarma Institute of Information Technology,Dept. of Information Technology,Pune,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055055624","display_name":"Arvind Madhukar Jagtap","orcid":"https://orcid.org/0000-0001-6855-3216","observed_orcids":["https://orcid.org/0000-0001-6855-3216"]},"institutions":[{"id":"https://openalex.org/I4210108681","display_name":"Vidya Prathishthan","ror":"https://ror.org/01d6n7b64","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210108681"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arvind Jagtap","raw_affiliation_strings":["Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering & Technology,Computer Engineering Department,Baramati, Pune,Maharashtra"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering & Technology,Computer Engineering Department,Baramati, Pune,Maharashtra","institution_ids":["https://openalex.org/I4210108681"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135040145","display_name":"Veena Kadam","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Veena M. Kadam","raw_affiliation_strings":["Shalaka Foundation's Keystone School of Engineering,Computer Engineering Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shalaka Foundation's Keystone School of Engineering,Computer Engineering Department","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"409","last_page":"414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.5253999829292297,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.5253999829292297,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.21719999611377716,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.19089999794960022,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/structural-integrity-assessment","display_name":"structural integrity assessment","score":0.8939999938011169},{"id":"https://openalex.org/keywords/yolov8","display_name":"YOLOv8","score":0.9860000014305115},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.9810000061988831},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.734000027179718},{"id":"https://openalex.org/keywords/roboflow","display_name":"Roboflow","score":0.7720000147819519},{"id":"https://openalex.org/keywords/wind-turbine-condition-monitoring","display_name":"wind turbine condition monitoring","score":0.8889999985694885},{"id":"https://openalex.org/keywords/damage-localization","display_name":"damage localization","score":0.5419999957084656}],"concepts":[{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.6819000244140625},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.6051999926567078},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5530999898910522},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5059000253677368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5052000284194946},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46369999647140503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46149998903274536},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.43639999628067017},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41370001435279846},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4007999897003174},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.3995000123977661},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37790000438690186},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3619999885559082},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.361299991607666},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3531999886035919},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C20381859","wikidata":"https://www.wikidata.org/wiki/Q829511","display_name":"Turbine blade","level":3,"score":0.3425000011920929},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.2939000129699707},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.28060001134872437},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2773999869823456},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.27250000834465027},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26750001311302185},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.25450000166893005},{"id":"https://openalex.org/C100086909","wikidata":"https://www.wikidata.org/wiki/Q193010","display_name":"Wind tunnel","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecst66106.2025.11307615","doi":"https://doi.org/10.1109/icecst66106.2025.11307615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecst66106.2025.11307615","pdf_url":null,"source":{"id":"https://openalex.org/S7407097081","display_name":"International Conference on Electronic Circuits and Signaling Technologies (ICECST)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 2nd International Conference on Electronic Circuits and Signaling Technologies (ICECST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.75,"id":"https://metadata.un.org/sdg/7"},{"display_name":"Industry, innovation and infrastructure","score":0.5378999710083008,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2558558783","https://openalex.org/W2805177027","https://openalex.org/W2901225969","https://openalex.org/W2965346940","https://openalex.org/W3045067673","https://openalex.org/W3190592576","https://openalex.org/W4311167096","https://openalex.org/W4313175410","https://openalex.org/W4366307101","https://openalex.org/W4392309467","https://openalex.org/W4400127814","https://openalex.org/W4400807288"],"related_works":["https://openalex.org/W4410229685","https://openalex.org/W4409348772","https://openalex.org/W4388285058","https://openalex.org/W4402304350","https://openalex.org/W4391678605","https://openalex.org/W4404317099","https://openalex.org/W4414799430","https://openalex.org/W7161284699","https://openalex.org/W4406956918","https://openalex.org/W7212173622"],"abstract_inverted_index":{"This":[0],"research":[1],"puts":[2],"forward":[3],"an":[4],"automatic":[5,168],"approach":[6,67],"for":[7,27,57,76,149,161,170,178],"wind":[8,51,175],"turbine":[9,176],"blade":[10],"damage":[11,36,86],"detection":[12,24,120],"employing":[13],"the":[14,77,92,99,114,141,144,159,162,171,179],"YOLOv8":[15,19,71],"deep":[16],"learning":[17,66],"algorithm.":[18],"is":[20,89,109,116,134],"a":[21,64,165],"high-level":[22],"object":[23],"system":[25,169],"known":[26],"fast":[28],"and":[29,34,55,73,105,130,167,185],"effective":[30],"identification":[31],"of":[32,44,50,81,94,113,140,143,151,164,174,181],"objects":[33],"precise":[35],"localization":[37],"in":[38,48],"image":[39],"datasets.":[40],"A":[41],"proprietary":[42],"dataset":[43],"annotated":[45,79,106],"damaged":[46],"areas":[47],"images":[49],"turbines":[52],"was":[53],"curated":[54],"used":[56],"training":[58],"through":[59],"Roboflow.":[60],"The":[61,154],"algorithm":[62],"employs":[63],"transfer":[65],"by":[68,137],"taking":[69],"pre-trained":[70],"weights":[72],"refining":[74],"them":[75],"domain-specific":[78],"set":[80],"images,":[82],"which":[83],"comprises":[84],"several":[85],"classes.":[87],"Training":[88],"geared":[90],"towards":[91],"optimization":[93],"model":[95,145],"parameters":[96],"such":[97,122],"that":[98],"discrepancy":[100],"between":[101],"predicted":[102],"bounding":[103],"boxes":[104],"ground":[107],"truths":[108],"minimized.":[110],"Performance":[111],"analysis":[112],"models":[115],"done":[117],"using":[118],"defined":[119],"metrics":[121],"as":[123],"precision,":[124],"recall,":[125],"mean":[126],"Average":[127],"Precision":[128],"(mAP),":[129],"F1-score.":[131],"Qualitative":[132],"validation":[133],"also":[135],"undertaken":[136],"visual":[138],"examination":[139],"predictions":[142],"on":[146],"unseen":[147],"samples":[148],"verification":[150],"real-world":[152],"usefulness.":[153],"work":[155],"presented":[156],"here":[157],"provides":[158],"basis":[160],"development":[163],"smart":[166],"condition":[172],"monitoring":[173],"structures":[177],"achievement":[180],"prolonged":[182],"maintenance":[183],"interventions":[184],"minimized":[186],"down":[187],"periods.":[188]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2025-12-30T00:00:00"}
